Research Economist, Economic Research

This is a fully remote position, open to applicants in California.

📋 Description

• Contribute significantly to the advancement and growth of the Anthropic Economic Index, encompassing quarterly reports and in-depth analysis tailored to specific industries.

• Design and execute empirical research focused on the economic implications of AI, utilizing both external data sources and internal privacy-preserving measurement systems.

• Innovate new methodological strategies for analyzing AI's influence on:

• Labor markets and the future workforce.

• Productivity shifts and task transformations.

• Economic inequality and workforce displacement.

• Disruption and adaptation within specific industries.

• Overall economic trends (GDP, productivity, unemployment) across various AI-adoption scenarios.

• Create causal-inference tools — such as surrogate indexes and heterogeneous-effect pipelines — to assist Anthropic in assessing the downstream economic effects of its compute, product, and pricing strategies.

• Establish and nurture partnerships with academic institutions, policy think tanks, and other research collaborators.

• Collaborate across functions with other technical teams to enhance our measurement infrastructure and data collection processes.

• Convert research findings into practical recommendations for product development and policy dialogues.

• Increase external engagement through research publications, policy briefs, and presentations aimed at a variety of stakeholders.

⛳️ Requirements

• PhD in Economics.

• Proven success in empirical research, particularly in studies that integrate novel data sources with economic theory or those that apply cutting-edge methods in causal inference and machine learning.

• Experience pertinent to analyzing AI’s economic impact, including:

• Labor market analysis and changes in occupations.

• Task-oriented approaches to technological change.

• Large-scale data analysis and econometric methodologies.

• Application of large language models in social science research.

• Conducting policy-relevant economic studies.

• Utilizing experimental and quasi-experimental methods for causal inference.

• Engaging in macroeconomic modeling and time series forecasting.

• Implementing agent-based modeling or large-scale simulations.

• Technical competencies such as:

• Proficiency in Python, R, SQL, or similar tools suitable for large-scale data analysis.

• Experience with innovative datasets and measurement systems.

• Willingness to learn new technical tools and frameworks.

• Proven capability to:

• Manage complex research projects from inception to publication.

• Articulate technical findings to diverse audiences.

• Cultivate relationships across academic, policy, and industry sectors.

• A strong commitment to ensuring that AI development serves the interests of humanity.

• Comfort in working with AI systems and a capacity for critical thinking regarding their capabilities and limitations.

🏝️ Benefits

• Competitive compensation and benefits package.

• Optional equity donation matching.

• Generous vacation and parental leave policies.

• Flexible working hours.

• A pleasant office environment conducive to collaboration with colleagues.